ArticleBMC geriatrics2025
Construction and validation of a risk prediction model for postoperative frailty in older adults:a multicenter study.
Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Nurses as guardians of time: the hidden clinical value of continuous care in geriatrics.Frontiers in public health · 2026Review
- Re: Methodological Considerations in Frailty Assessment for Distal Radius Fracture Surgery.Geriatric orthopaedic surgery & rehabilitation · 2026Article
- Incidence and influencing factors of postoperative frailty in elderly prostate cancer patients: a cross-sectional study.Frontiers in medicine · 2025Article
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Authors and funding
13 authors.
Funding
Abstract
backgroundPostoperative frailty is an important determinant of postoperative recovery and survival outcomes. Predicting the onset of postoperative frailty is significant importance for the rehabilitation of the elderly people after surgery. Our study aims to develop and evaluate a predictive model for postoperative frailty on the 30
methodsData from seven Guangzhou hospitals were collected, encompassing 2,290 patients for analysis. This study constructed the model using LASSO regression and stepwise regression, and the optimal predictive model was selected based on comparison. Model performance was assessed through calibration curves, the area under the ROC curve (AUC), and decision curve analysis (DCA).
resultsThe final model included the following variables: American Society of Anesthesiologists (ASA) grade, intraoperative blood loss, economic income, caregiver status, sedentary behavior, cognitive function, Activities of Daily Living (ADL), postoperative hemoglobin (Hb) level, and postoperative ICU admission. The model demonstrated good discrimination, with an area under the curve (AUC) of 0.7431 (95% CI = 0.7073-0.7788) in the training set and 0.7285 (95% CI = 0.6671-0.7624) in the validation set.
conclusionsAccording to general demographic information, lifestyle habits, and surgery-related factors, a predictive model for postoperative frailty in the elderly was constructed, which has good predictive power. This model can identify high-risk populations for postoperative frailty and provides a reference for the early detection and intervention of frailty in the elderly in clinical practice.
trial registrationThis study was registered on May 17, 2023, at the Chinese Clinical Trial Registry (registration number: ChiCTR2300071535).
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